Search Results for author: Yu-Zhen Janice Chen

Found 6 papers, 1 papers with code

On Collaboration in Distributed Parameter Estimation with Resource Constraints

no code implementations12 Jul 2023 Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley

We study sensor/agent data collection and collaboration policies for parameter estimation, accounting for resource constraints and correlation between observations collected by distinct sensors/agents.

On-Demand Communication for Asynchronous Multi-Agent Bandits

no code implementations15 Feb 2023 Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

We propose ODC, an on-demand communication protocol that tailors the communication of each pair of agents based on their empirical pull times.

To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints?

no code implementations31 May 2022 Yu-Zhen Janice Chen, Daniel S. Menasche, Don Towsley

We study how the amount of correlation between observations collected by distinct sensors/learners affects data collection and collaboration strategies by analyzing Fisher information and the Cramer-Rao bound.

Distributed Bandits with Heterogeneous Agents

no code implementations23 Jan 2022 Lin Yang, Yu-Zhen Janice Chen, Mohammad Hajiesmaili, John CS Lui, Don Towsley

The goal for each agent is to find its optimal local arm, and agents can cooperate by sharing their observations with others.

Decision Making

Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback

no code implementations NeurIPS 2021 Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

This paper studies a cooperative multi-armed bandit problem with $M$ agents cooperating together to solve the same instance of a $K$-armed stochastic bandit problem with the goal of maximizing the cumulative reward of agents.

Decision Making

Graphlet Count Estimation via Convolutional Neural Networks

1 code implementation7 Oct 2018 Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov

The number of each graphlet, called graphlet count, is a signature which characterizes the local network structure of a given graph.

Cannot find the paper you are looking for? You can Submit a new open access paper.